When student midwives are present during labour and childbirth in a peer-learning model: An interview study of
Sofia Zwedberg1, Mia Barimani2
1Sophiahemmet University, Department for health promotion science, Lindtstedtsvägen 8, 114 86 Stockholm, Sweden; Karolinska University hospital, Solna. Children´s & Women´s Health Theme, PA Pregnancy Care and Delivery, Karolinska Universitetsjukhuset Solna, Karolinska vägen 171 76 Solna, Sweden.
Objective:
For peer learning to be useful in clinical practice, we need to know how parents experience peer learning during labour and childbirth. This study explored how parents experienced having two students present during labour and childbirth in a peer-learning model.
Design:
A qualitative approach using individual interviews followed by thematic inductive analysis.
Setting:
Three hospitals and obstetric units in Stockholm, Sweden.
Participants:
Eleven women and nine partners.
Findings:
The overarching theme was that of a fruitful model of health care, in which there were gains for both parents and students. Parents described feeling seen and cared for, being made aware of what was going on, and never being left alone (subtheme 1, Trustful relationship). Parents appreciated being able to observe student midwives' attendance to the tasks at hand and that they, the two students, learned from each other (subtheme 2, Advantages for students).
Conclusions:
The parent couple was able to build a trustful relationship with both students. Furthermore, could parents only see advantages for students in a peer-learning model. Parents reported generous support and were willing to contribute to student education. Parents took advantage of the learning taking place between the two students. The model deserves to be incorporated in the midwifery-student internships to complement more individually assisted births.
More Related Videos
05:04Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
Published on: August 9, 2024
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
